Sensitive image recognizing method in interaction of inner and outer power networks

Abstract

The invention provides a sensitive image recognizing method in interaction of inner and outer power networks. The method includes the steps that (1) sample images are collected in an inner power network system to form a sample image set, and sensitive and insensitive marking is carried out on the sample images in a manual marking mode; (2) feature items of the sample images are selected; (3) a feature data set of the sample image set is extracted according to the selected feature items; (4) a machine learning method is adopted, and a classification model is obtained through training according to the feature data set of the sample image set and the corresponding sensitive or insensitive marks; (5) on the basis of the classification model, sensitive image recognizing is carried out; when the misjudgment rate is smaller than a set misjudgment threshold value, the result that the current classification model meets requirements of an expected target can be determined, and training is finished; when the misjudgment rate is larger than or equal to the misjudgment threshold value, the feature items of the sample images are selected again, and the step (3) is carried out. According to the method, sensitive images are recognized based on the machine learning method, and the excellent classification model can be obtained under the condition that the number of the samples is limited.

Description

technical field [0001] The invention relates to the technical field of electric power system informatization, in particular to a sensitive image recognition method in the interaction of electric power internal and external networks. Background technique [0002] With the construction of smart grid and the in-depth integration of various applications in various links of transmission, transformation, distribution and call, the degree of centralization of information systems will be higher, and the types and contents of information exchange between internal and external networks of electric power will become more complex, which will play an increasingly important role in supporting business systems. more significant. The power system is divided into a production management area and a management information area with reference to the sixteen-character security protection policy of "safety partition, dedicated network, horizontal isolation, and vertical authentication". The func...

AI Technical Summary

Problems solved by technology

[0004] It is difficult to describe these sensitive or non-sensitive images with specific rules. In the existing technology, the method based on semantic annotation needs to add description information to all images in advance and then perform human identification. is large, and the image classification count based on the statistical method only tends to the ideal classification effect when the sample image tends to infinity

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